Given a tree trunk with concentric circles, can we predict the weather for each year? Each concentric circle accounts for a year that the tree has been on the Earth. The innermost circle is the oldest year and the outermost circle is the current year.
I have a data set that tells how much rainfall there was for every year since rainfall could be measured. Given this information can we predict rainfall for the innermost years?
I thought maybe the size of the concentric circles were dependent upon the rainfall for that year. This assumes a direct relationship. I was asked to think of this more broadly and in particular to think about this as a Markov Model.
- How could I go about doing this prediction? Is a Markov model a good place to start, or are there simpler ways to approach the problem?
- Even if there are other ways, I want to explore the Markov model as well. Where is a good place to start learning about Markov models?
Any help and comments would be greatly appreciated!